:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bozorgkhoo, Amirhossein, Molybog, Igor
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Information Theory Machine Learning
Online Access:	https://arxiv.org/abs/2603.11053
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Block Verification Accelerates Speculative Decoding
by: Sun, Ziteng, et al.
Published: (2024)

SpecTr: Fast Speculative Decoding via Optimal Transport
by: Sun, Ziteng, et al.
Published: (2023)

SODBench: A Large Language Model Approach to Documenting Spreadsheet Operations
by: Indika, Amila, et al.
Published: (2025)

BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes
by: Abaskohi, Amirhossein, et al.
Published: (2024)

REST: Retrieval-Based Speculative Decoding
by: He, Zhenyu, et al.
Published: (2023)

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
by: Khisti, Ashish, et al.
Published: (2024)

Scaling Speculative Decoding with Lookahead Reasoning
by: Fu, Yichao, et al.
Published: (2025)

Semantic Faithfulness and Entropy Production Measures to Tame Your LLM Demons and Manage Hallucinations
by: Halperin, Igor
Published: (2025)

A Simple Model of Inference Scaling Laws
by: Levi, Noam
Published: (2024)

Decoding Speculative Decoding
by: Yan, Minghao, et al.
Published: (2024)

Speeding up Speculative Decoding via Sequential Approximate Verification
by: Zhong, Meiyu, et al.
Published: (2025)

L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
by: Chen, Zhuo, et al.
Published: (2025)

SPEX: Scaling Feature Interaction Explanations for LLMs
by: Kang, Justin Singh, et al.
Published: (2025)

Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling
by: Thomas, Rahul, et al.
Published: (2026)

Accelerating Retrieval-Augmented Language Model Serving with Speculation
by: Zhang, Zhihao, et al.
Published: (2024)

LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding
by: Samarin, Alexander, et al.
Published: (2026)

Proposal and study of statistical features for string similarity computation and classification
by: Rodrigues, E. O., et al.
Published: (2026)

Efficient Learned Data Compression via Dual-Stream Feature Decoupling
by: Ma, Huidong, et al.
Published: (2026)

Effective Context in Transformers: An Analysis of Fragmentation and Tokenization
by: Fesharaki, Amirmehdi Jafari, et al.
Published: (2026)

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory
by: Zuo, Fei, et al.
Published: (2026)

Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026)

A Rate-Distortion Framework for Summarization
by: Arda, Enes, et al.
Published: (2025)

Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)

Theoretical guarantees on the best-of-n alignment policy
by: Beirami, Ahmad, et al.
Published: (2024)

Multi-turn Training with Basic Human Feedback Helps Little on LLM Reasoning
by: Liu, Qiang, et al.
Published: (2025)

Understanding Factual Recall in Transformers via Associative Memories
by: Nichani, Eshaan, et al.
Published: (2024)

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
by: Hu, Dou, et al.
Published: (2025)

InfAlign: Inference-aware language model alignment
by: Balashankar, Ananth, et al.
Published: (2024)

A Mathematical Theory for Learning Semantic Languages by Abstract Learners
by: Liao, Kuo-Yu, et al.
Published: (2024)

Transformers on Markov Data: Constant Depth Suffices
by: Rajaraman, Nived, et al.
Published: (2024)

What Makes the Preferred Thinking Direction for LLMs in Multiple-choice Questions?
by: Zhang, Yizhe, et al.
Published: (2025)

An Enhanced Text Compression Approach Using Transformer-based Language Models
by: Rahman, Chowdhury Mofizur, et al.
Published: (2024)

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
by: Nagle, Alliot, et al.
Published: (2024)

MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
by: Elias, Noel, et al.
Published: (2024)

Cost-aware LLM-based Online Dataset Annotation
by: Elumar, Eray Can, et al.
Published: (2025)

Iterative Counterfactual Data Augmentation
by: Plyler, Mitchell, et al.
Published: (2025)

Latent Space Alignment for Semantic Channel Equalization
by: Hüttebräucker, Tomás, et al.
Published: (2024)

Information-Theoretic Generative Clustering of Documents
by: Du, Xin, et al.
Published: (2024)

Speculative Decoding Across Languages
by: Paudel, Nirajan, et al.
Published: (2026)

Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding
by: Bhattacharjee, Payel, et al.
Published: (2025)